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AI & MLRecommendedAIML-AGT-008

Reasoning-Acting Loops and Self-Reflection

Interleaving thought, tool calls, and observations; revising a plan after critiquing a failure.

Difficulty
3 / 5
Importance
4 / 5
Study time
1–2 h
Kind of work
Mixed

Why it matters

The learner can trace a reason-act-observe loop on a multi-step task and identify where a reflection step would recover from an error.

The route to this topic

Route AIML-AGT-008
What Is a Model? Rational Agents and Task Environments Tasks: Regression, Classification, and Beyond Features and Targets Classification Framing Linear Regression I: Prediction and Residuals Embeddings Tokens and Tokenization Scores and Logits Loss and Fitting: Squared Error Similarity in Vector Space Multiclass Scores and Softmax Autoregression Query, Key, Value Similarity Scores Next-Token Prediction Weighted Aggregation The Agent Loop Self-Attention Tools and Tool Use Planning Context and Conditioning Prompting and In-Context Learning Reasoning-Acting Loops and Self-Reflection